Only configural invariance was established, which showed an agreement for the existence of an underlying theoretical construct for each subscale (Conflict and Closeness) of the Turkish and the English versions. However, item CPRS 4 was a non-significant item for Conflict in the Turkish version that affected the possibility to conduct further analyses. Findings encourage researchers to propose and assess cultural and linguistic adaptations for the Child-parent Relationship Scale before cross-cultural comparisons related to family relationships.BACKGROUND Studies of the human filarial parasite have been hampered by the fact that they are obligate parasites with long life cycles. https://www.selleckchem.com/products/azd0364.html In other pathogenic infections, in vivo imaging systems (IVIS) have proven extremely useful in studying pathogenesis, tissue tropism and in vivo drug efficacy. IVIS requires the use of transgenic parasites expressing a florescent reporter. Developing a method to produce transgenic filarial parasites expressing a florescent reporter would permit IVIS to be applied to the study of tissue tropism and provide a non-invasive way to screen for in vivo drug efficacy against these parasites. METHODOLOGY/PRINCIPAL FINDINGS We report the development of a dual luciferase reporter construct in a piggyBac backbone that may be used to stably transfect Brugia malayi, a causative agent of human filariasis. Parasites transfected with this construct were visible in IVIS images obtained from infected gerbils. The signal in these infected animals increased dramatically when the transgenic parasites matured to the adult stage and began to produce transgenic progeny microfilaria. We demonstrate that the IVIS system can be used to develop an effective method for cryopreservation of transgenic parasites, to non-invasively monitor the effect of treatment with anti-filarial drugs, and to rapidly identify transgenic F1 microfilariae. CONCLUSIONS To our knowledge, this represents the first application of IVIS to the study of a human filarial parasite. This method should prove useful in studies of tissue tropism and as an efficient in vivo assay for candidate anti-filarial drugs.BACKGROUND Recent initiatives in psychiatry emphasize the utility of characterizing psychiatric symptoms in a multidimensional manner. However, strategies for applying standard self-report scales for multiaxial assessment have not been well-studied, particularly where the aim is to support both categorical and dimensional phenotypes. METHODS We propose a method for applying natural language processing to derive dimensional measures of psychiatric symptoms from questionnaire data. We utilized nine self-report symptom measures drawn from a large cellular biobanking study that enrolled individuals with mood and psychotic disorders, as well as healthy controls. To summarize questionnaire results we used word embeddings, a technique to represent words as numeric vectors preserving semantic and syntactic meaning. A low-dimensional approximation to the embedding space was used to derive the proposed succinct summary of symptom profiles. To validate our embedding-based disease profiles, these were compared to presence or absence of axis I diagnoses derived from structured clinical interview, and to objective neurocognitive testing. RESULTS Unsupervised and supervised classification to distinguish presence/absence of axis I disorders using survey-level embeddings remained discriminative, with area under the receiver operating characteristic curve up to 0.85, 95% confidence interval (CI) (0.74,0.91) using Gaussian mixture modeling, and cross-validated area under the receiver operating characteristic curve 0.91, 95% CI (0.88,0.94) using logistic regression. Derived symptom measures and estimated Research Domain Criteria scores also associated significantly with performance on neurocognitive tests. CONCLUSIONS Our results support the potential utility of deriving dimensional phenotypic measures in psychiatric illness through the use of word embeddings, while illustrating the challenges in identifying truly orthogonal dimensions.The Sm proteins are a conserved protein family with Sm motifs. The family includes Sm and Sm-like proteins, which play important roles in pre-mRNA splicing. Most research on the Sm proteins have been conducted in herbaceous plants, and less in woody plants such as Dimocarpus longan (longan). And the embryo development status significantly affects the quality and yield of longan. In this study, we conducted a genome-wide analysis of longan Sm genes (DlSm) to clarify their roles during somatic embryogenesis (SE) and identified 29 Sm genes. Phylogenetic analysis deduced longan Sm proteins clustered into 17 phylogenetic groups with the homologous Sm proteins of Arabidopsis thaliana. We also analyzed the gene structures, motif compositions, and conserved domains of the longan Sm proteins. The promoter sequences of the DlSm genes contained many light, endosperm development, hormone, and temperature response elements, which suggested their possible functions. In the non-embryogenic callus(NEC) and during early SE in longan, the alternative splicing(AS) events of DlSm genes indicated that these genes may influence SE development by changing gene structures and sequences. The kinetin(KT) hormone, and blue and white light treatments affected the differentiation and growth of longan embryonic callus(EC) probably by affecting the AS events of DlSm genes. Expression profiles showed the possible functional divergence among Sm genes, and different hormones and light qualities affected their expression levels. The expression trends of the DlSm genes determined by RNA sequencing as fragments per kilobase of exon model per million mapped reads (FPKM) and by real-time quantitative PCR(qRT-PCR) during early SE in longan showed that the expression of the DlSm genes was affected by the growth and differentiation of longan SE, and decreased as the somatic embryo differentiation progressed. The results will contributed to understanding the longan Sm gene family and provide a basis for future functional validation studies.